Phillip Yang
Impact in
-
- Long-Term Effects of COVID-19
-
- Cancer, Lipids, and Metabolism
Papers in
-
- Long-Term Effects of COVID-19 5
- Co-authors
- Joseph C. Wu (3 shared papers)J. David Clark (2 shared papers)Maral Tajerian (2 shared papers)David Leu (2 shared papers)Ting‐Ting Huang (2 shared papers)Euan A. Ashley (1 shared paper)Takayasu Arai (1 shared paper)Naoto T. Ueno (1 shared paper)
- Journals
- Journal of the American College of Cardiology (3 papers)Experimental Neurology (1 paper)British Journal of Cancer (1 paper)Journal of Cardiovascular Magnetic Resonance (1 paper)Journal of Pain (1 paper)
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Phillip Yang
25 papers receiving 492 citations
Phillip Yang's Hit Papers
Peers
Comparison fields: 5 of 76
- Neurology 85
- Cancer Research 84
- Cardiology and Cardiovascular Medicine 114
- Psychiatry and Mental health 66
- Anesthesiology and Pain Medicine 24
Countries citing papers authored by Phillip Yang
This map shows the geographic impact of Phillip Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Phillip Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Yang more than expected).
Fields of papers citing papers by Phillip Yang
This network shows the impact of papers produced by Phillip Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Phillip Yang. The network helps show where Phillip Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Phillip Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 76 | |
| 2 | Myalgic Encephalomyelitis/Chronic Fatigue Syndrome is common in post-acute sequelae of SARS-CoV-2 infection (PASC): Results from a post-COVID-19 multidisciplinary clinic Hit paper breakdown → | 2023 | 71 |
| 3 | 2006 | 71 | |
| 4 | 2015 | 48 | |
| 5 | 2014 | 39 | |
| 6 | 2017 | 31 | |
| 7 | 2015 | 30 | |
| 8 | 2018 | 28 | |
| 9 | 2017 | 23 | |
| 10 | 2016 | 18 | |
| 11 | 1987 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 4 | |
| 16 | 2013 | 2 | |
| 17 | 2008 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2016 | 1 |
About Phillip Yang
Phillip Yang is a scholar working on Neurology, Cardiology and Cardiovascular Medicine, Molecular Biology, Clinical Psychology and Surgery, having authored 32 papers that have together received 495 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (5 papers), Homelessness and Social Issues (3 papers), Food Security and Health in Diverse Populations (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Migration, Health and Trauma (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Cardiac Structural Anomalies and Repair (2 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). The work is most often cited by research in Neurology (85 citations), Cancer Research (84 citations), Cardiology and Cardiovascular Medicine (114 citations), Psychiatry and Mental health (66 citations) and Anesthesiology and Pain Medicine (24 citations). Phillip Yang has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Joseph C. Wu, J. David Clark, Maral Tajerian, David Leu, Ting‐Ting Huang, Euan A. Ashley, Takayasu Arai, Naoto T. Ueno, Kazuharu Kai and Wendy A. Woodward. Their work appears in journals such as Journal of the American College of Cardiology, Experimental Neurology, British Journal of Cancer, Journal of Cardiovascular Magnetic Resonance and Journal of Pain.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.